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Home  People
Principal Investigator
|  | Samuel S.-H. Wang, Ph.D.
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| Lab Manager
|  | Laura A. Lynch, Ph.D.
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Laura manages the laboratory and provides key support on a variety of projects including probe design, mouse models of autism, and generally wrangling lab mammals small and large.
| Administrative Support
|  | Rebecca Khaitman Heller
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| Postdoctoral Researchers
|  | Aleksandra Badura, Ph.D.
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Dr. Aleksandra Badura is a postdoctoral fellow. She did her doctoral work at the Erasmus University Rotterdam on the role of afferent inputs to the cerebellar cortex on Purkinje cell spiking patterns, motor performance and motor learning, specifically the impact of climbing fiber activity on Purkinje cell spiking patterns and cerebellar ataxia. In her postdoctoral work she uses genetically encodable indicator proteins to evaluate neural coding principles in the cerebellum of awake, behaving rodents.
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|  | Andrea Giovannucci, Ph.D.
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Dr. Andrea Giovannucci is an NJCBIR postdoctoral fellow. He obtained his BSc degree in Electronic Engineering from Milan Politecnico and his MSc and PhD from the Autonoma University of Barcelona. He is currently studying error and reward signals in cerebellar learning using two-photon microscopy and head-fixed methods in awake mice.
| Graduate Students
|  | Alexander D. Kloth
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Alex is graduate student in the Molecular Biology and Neuroscience departments. His research concerns the cerebellum for associative learning and the processing of unexpected events. Much of the work focuses on delay eyeblink conditioning in the freely-locomoting mouse. His interests also include neurodevelopmental disorders such as autism, and the development of tests of cerebellar deficits in disorders that can be modeled using transgenic mice.
|  | Benjamin Campbell
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Ben is a graduate student at Rockefeller University. He is interested in understanding the how the cerebellum relates to its larger context of the brain, and inversely how the components of the cerebellum relate to form it. This work involves a variety of theoretical and experimental approaches, and is influenced by systems neuroscience and machine learning. He is currently interested in formulating and testing models of cerebellar inference, relating these to models of other brain regions, and thus exploring how brain and behavior emerge from the interaction of specialized networks.
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| Matthew Howard
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| Undergraduate Students
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| Daniel Chang '13
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| Richard D. Jones '13
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| Sara G. Connolly '13
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| Amy Li '14
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| Past Lab Members
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| Lab Alumni |
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